In the case of Sheets, the most reasonable sharding scheme for the database backing it would be based on some collection of spreadsheets (in the extreme case it would be just one spreadsheet, but that probably wouldn't be practical). The important assumption here is that all the traffic pertaining to one spreadsheet will ultimately go to one server. So, if there's too much traffic coming related to one spreadsheet, you cannot really scale horizontally by adding more servers – you have to give it more resources. A single Google Sheet is sometimes used by lots of users at the same time, but they are able to limit it from the frontend (for example by making it degrade gracefully).
If the traffic comes from the API, it's going to be a little bit more tricky – especially that IIRC the current rate limiting for the API uses a daily quota, leaving room for some really nice spikes.
So, as soon as a website built using this hack get somehow popular someone is going to have a really rotten day with a lot of pages.
(Of course, this is pure speculation on my side, I have no idea how Google Sheets is actually built – I would be very curious if there's a smart way of overcoming this sort of issue.)